Recommender Systems for Learning. Este artículo no está disponible.
Idioma: inglés
Editorial: Springer-Verlag New York Inc., 2012
Serie: Libro 25 de 209 - SpringerBriefs in Electrical and Computer Engineering
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N° de ref. del artículo B9781461443605
- Título
- Recommender Systems for Learning
- Autor
- Nikos Manouselis
- Editorial
- Springer-Verlag New York Inc.
- Año de publicación
- 2012
- Estado
- New
- Encuadernación
- Paperback / softback
- Idioma
- inglés
- ISBN 10
- 1461443601
- ISBN 13
- 9781461443605
- Peso del artículo
- 178 gramos
- Serie
- Libro 25 de 209: SpringerBriefs in Electrical and Computer Engineering
“Sinopsis” puede pertenecer a otra edición de este título.
De la contraportada
Technology enhanced learning (TEL) aims to design, develop and test sociotechnical innovations that will support and enhance learning practices of both individuals and organisations. It is therefore an application domain that generally covers technologies that support all forms of teaching and learning activities. Since information retrieval (in terms of searching for relevant learning resources to support teachers or learners) is a pivotal activity in TEL, the deployment of recommender systems has attracted increased interest. This brief attempts to provide an introduction to recommender systems for TEL settings, as well as to highlight their particularities compared to recommender systems for other application domains.
“Acerca de” puede pertenecer a otra edición de este título.